Machine Learning Engineer, Generative AI (Image & Video)

Snapchat
UK
4 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Computer Vision Augmented Reality C++ (Programming Language) Computer Programming Python (Programming Language) Machine Learning Object Detection Open Source Technology Software Engineering
+6 more
Neural Rendering Open-source Models Large Language Models Deep Learning Generative AI Information Technology

Job description

  • Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs
  • Build cutting-edge augmented reality experiences with diffusion/flow matching models
  • Work on state of the art GenAI pipelines for image and video generation. Ship well-scoped consumer-facing features within weeks, with guidance on broader architecture and launch decisions
  • Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback
  • Actively monitor the market and research landscape for new developments in Gen AI, run focused evaluations of open-source models and third-party AI APIs/services and share findings to support the team’s build-vs-buy decisions
  • Evaluate open-source Gen AI models and APIs

Requirements

  • A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
  • Knowledge of mathematics and deep learning foundations
  • Excellent verbal and written communication skills, with meticulous attention to detail
  • Ability to work independently on well-defined technical problems and seek guidance when needed
  • Ability to contribute to large, complex technical initiatives by owning well-scoped features or components, * Strong foundations in Machine Learning, demonstrated through hands-on projects, research, internships, or professional work
  • Strong programming skills in Python or C++
  • Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning or computer vision
  • At least 3 years of machine learning experience after completing a bachelor’s degree, or a master’s degree in a relevant technical field, * Knowledge of computer graphics foundations
  • Experience with visual Gen AI models for Image and Video generation and Editing
  • Familiarity with evaluating the visual quality of Image and Video models
  • Hands-on experience with GenAI projects, such as working prototypes, research projects, or open-source contributions
  • Ability to proactively learn new concepts and apply them at work

About the company

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront., ā€œDefault Togetherā€ Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a ā€œdefault togetherā€ approach and expect our team members to work in an office 4+ days per week.

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